That's why its called "artificial" intelligence
Its just predicting the statistical likelihood of the next token based on the corpus of human language in writing.
Autocorrect isn't an author, therefore LLMs aren't developers. But thanks to spell-check, and autocorrect, human authors don't need to hire as many human editors and proof-readers.
Likewise, project managers may not need to hire as many devs to write software that meets their requirements.
Would you therefore argue that spell check ultimately took away editing jobs?
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In a sense, yes. But also, spellcheck (and wordprocessing in general) made it easier than ever to become an author. Which may have increased demand for human editors.
Likewise, with LLMs its never been easier to be a project manager. So the demand for human devs may still increase even if the number of devs per project decreases.
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I'm skeptical that LLMs make it easier to be a project manager, but I suppose time will tell.
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Someone who programmed in raw assembly in 1980s would probably say a Python dev in 2010 is basically writing English (and is not a 'true' programmer).
Now imagine that Python dev is looking ahead 30 years at someone chatting with an LLM to produce code. Maybe, its the PMs that are going to lose their jobs. Maybe the devs of tomorrow look a lot more like the PMs of today.
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