This has been pretty obvious since the beginning. When you build a model, you freeze all of the implicit assumptions underlying the language in that model. For example, if you built a model of physics before Einstein, everything it generated would implicitly assume a Newtonian model of physics.
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One big example of this is the biological, neurological, and psychological understanding of gender. The vast majority (probably 99.99%) of text that LLMs were trained on assume gender and biological sex are synonymous and binary. But science has found that they aren’t. So how would a model even get
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