"According to new research from consulting firm Robert Half reviewed by Fast Company, nearly a third (32%) of hiring managers say that their organizations eliminated a role or let someone go primarily due to productivity gains from AI or automation, and then later rehired for that same role."

https://www.fastcompany.com/91554983/ai-boomerang-why-some-companies-are-rehiring-employees-they-laid-off

#news #technology #TechNews #jobs #labor #workers #AI #LLMs

Sigh. OK. rsync discourse:

This is not a story about “vibe coding” or “slop” or regressions or even open source sustainability or whatever: it’s a story about mental health.

The timeline of Tridge’s response in particular can be broke down like so:

1. AI skeptics say "LLMs create difficult-to-evaluate defects, even if you're careful"
2. Tridge introduces defects even though he was careful
3. he gets yelled at
4. His response is to say "you dinosaurs don't appreciate how *careful* I was!"

RE: https://social.treehouse.systems/@wwahammy/116695372319811855

This!! I am yelling this too!!

And it’s yet another one of the things where now when I yell it, I have to specify that it’s something I’ve been telling students and companies alike since long before the release of GPT, because otherwise people assume it’s just a reaction to gen AI:

“Generating code is by •far• the easiest part of programming.”

“No matter the source, don’t let code into your project unless you understand what it does.”

“Programming languages exist for humans to communicate with other humans. Code does not just make machines go; it encodes and reifies human mental models. Good code communicates •intent•; very bad code has no coherent intent at all.”

and so on