Our species has always been fascinated by numbers, but the first real primitive attempts at statistical analysis date back to around 5000 BC in ancient Mesopotamia. At that time, Sumerian farmers from southern Iraq would measure rainfall and count their herds of sheep. Some historians believe they also counted sex partners. Although there is little evidence for this theory.
The first statistical methods were used to predict the size of next years crop. The Sumerians would then alter how many sheep they sheared, usually by sacrificing a few lambs.
The ancient Sumerians were also the first to use statistics in a court of law, when they began using it as evidence. In early trials, lawyers would collect numbers about their clients, such as how many times they had been arrested and what crimes they committed.
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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.