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I don't really see it any different than the Windows/Unix, Windows/Mac, etc, flame wars that boiled even amongst those with no professional stake it in for decades. Those were otherwise serious people too, parroting meaningless numbers and claims that didn't actually make much of a difference to them.

If anything, the AI takes are more much more meaningful. A Mac/PC flame war online was never going to significantly affect your career. A manager who either is all-in on AI or all-out on it can.



OS and IDE wars are something people take pretty seriously in their teens and very early careers, and eventually become more agnostic about after they realize it's not going to be the end-all predictor of coworker code quality. It predicts something for sure, but not strictly skill-level.

Language-preference wars stick around until mid-career for some, and again it predicts something. But still, serious people are not likely to get bogged down in pointless arguments about nearly equivalent alternatives at least (yaml vs json; python vs ruby).

Shallow takes on AI (whether they are pro or anti) are definitely higher stakes than all this, bad decisions could be more lasting and more damaging. But the real difference to my mind is.. AI "influencers" (again, pro or anti) are a very real thing in a way that doesn't happen with OS / language discussions. People listen, they want confirmation of biases.

I mean there's always advocates and pundits doing motivated reasoning, but usually it's corporate or individuals with clear vested interests that are trying to short-circuit inquiry and critical thinking. It's new that so many would-be practitioners in the field are eager to sabotage and colonize themselves, and forcing a situation where honest evaluations and merit-based discussion of engineering realities are impossible




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