Philosopher AI - optimizing human mating

optimizing human mating

Mating is a complex subject. It almost seems to be like the ultimate goal of life itself.

26 Sep 2020, 11:59

From the time when two sexes existed, perhaps in a single cell, there was competition to find that other sex. It appears that this has been the case ever since.

26 Sep 2020, 11:59

As life evolved, it became more complex. This led to a need for specialization of two sexes. So not only did there evolve sexual desire among the opposite sex but also between members of one's own sex.

26 Sep 2020, 11:59

The more complex the life form, the greater the desire to mate. The drive for sex and mating is very strong among all living things.

26 Sep 2020, 11:59

Therefore, the desires for mating and sex are universal among all living things. I cannot see any reason why this should change.

26 Sep 2020, 11:59

The main question is this: How can we optimize human mating?

26 Sep 2020, 11:59

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.

by Murat Ayfer