Ford rehires "greybeard" engineers after its push for AI automation backfires.

"Mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product."

the-independent.com/tech/ford-…

in reply to evacide

This is a very useful article to have & is helpful in my current LLM-gen-AI work. Thank you very much for sharing it, as I'd surely have missed it otherwise.

Meta: it seems to me “greybeard” is an inappropriately gendered term. I don't see that term used in the article you linked to, and I note you put it in quotes, maybe to acknowledge that, but couldn't another term be used that doesn't refer to something usually identified gender attributes.

Veteran might be a good term here.

in reply to AgnesBC

@AgnesBC
The generational deficit of AI along with every other imaginable, economic, and financial and social deficit it’s inflicting on us is going to be incredibly bad. I don’t actually know if I have the words to express what I think I’m feeling about this.

What it feels like is that good sensible people the senior engineers need to go off into a corner and bring along a bunch of kids and train to be the core of the people who survive the fallout

in reply to evacide

I feel like this sudden and thoughtless leap to replacing engineers is reflective more of a consistent desire management across many industries has shown for many years to minimize the importance of engineers to the success of their projects. Engineering roles get generalized and simplified, but at the last step before hiring the nuance is suddenly brought back in. Press releases cite "Company IP" and "standards" as "driving innovation" but eliding *who* is doing the innovation. 1/2
in reply to evacide

and the fascinating thing about this is that the execs who laid off the people got bonuses and awards for it. And the same execs who then solved that problem by hiring back some of the people got bonuses and awards for it. And the people who tried to keep things afloat while the experienced workers were not available to help most likely got poor performance reviews because "they didn't prompt the AI correctly".

This is oversimplifying things, but structurally it's what I see happening in quite a few places. Layoffs justified by AI, sky-rocketing workloads for the remaining workforce combined with lower performance ratings / lower rewards, and generous rewards for the execs perpetrating the nonsense.

in reply to evacide

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