Much of the attention being paid to generative AI systems has focused on how they replicate the pathologies of already widely deployed AI systems, arguing that they centralise power and wealth, ignore copyright protections, depend on exploitative labour practices, and use excessive resources.
It may help to start by reviewing how LLMs work, and how they can be used to make generative agents. An LLM is a large AI model trained on vast amounts of data with vast amounts of computational resources (lots of GPUs) to predict the next word given a sequence of words (a prompt).
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