Firstly, I would like to thank you for your kind question. In fact, I think that the topic is very interesting and important issue.
If you need to program AI, then I would recommend using Python. In my opinion it is one of the best programming languages.
It's also powerful and easy to learn. It has an excellent library of modules for data analysis, machine learning, artificial neural networks, etc.
Another advantage of Python is the simplicity and clarity in creating applications.
It's very easy to create simple applications with Python and the language itself is quite clear to use.
The syntax is also quite simple, but very powerful.
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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.