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Ford had to hire back former engineers to fix mistakes made by its automated systems
(www.theverge.com)
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And that’s basically it!
Yeah, and for those who don't know, the rationalization output of the LLM is just so pursuasive. It sounds quietly confident and rattles off things that sound like real details.
People are believing the LLM output over actual human experts and the human experts have to expend non-trivial effort trying to disprove an LLM output before they can get on with the business of doing it right.