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between what has happened during training and what the output is hopefully that helps to demonstrate and give an example of that without going to Too Much technical detail its important to note that right now after three months training or the equivalent of 288 years of training this black box no longer contains the original training data it only contains the parameters the connections between data points so even though we fed it with books those books do not exist in the model anymore only little Snippets of text connected to other Snippets of text sometimes with dozens or hundreds of connections to get to an example here might be this black box has 175 billion parameters or synapses or connections and some larger AR models now have up to a trillion and were breaking that point one trillion connections if we wanted to copy the human brain and get the same count of neurons with and synapses we would have to get 86 billion in terms of neuron data count and in terms of synapses wed ha