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9 points
Although nonstandard English and pidgins often demonstrate the same level of nuance and complexity as standard English, it’s very common for there to be negative stereotypes. One has to wonder whether the LLMs generated from (stolen en masse) written output say as much about us as they do about their creators.
11 points
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Pretty much, it was trained on human writing, then people are all surprised when it has human biases.
2 points
An LLM needs to evaluate and modify the preliminary output before actually sending it. In the context of a human mind that’s called thinking before opening your mouth.
4 points
