Why office workers are turning against AI

bloodinthemachine.com

27 points·speckx··5 comments

The management has to prove the results of adopting AI

It seems there is a structural problem, since practitioners have to take responsibility when AI makes mistakes.

The best thing should be happened is that AI practically helps with the tasks of practitioners

Should not use energy to verify how AI works well without accident, it is that workers can use energy somewhere else, but it is yet coming.

Because there is currently a bottleneck in adopting AI models regarding whether the data is AI-ready. We must solve this part.

Then I expect the conflict to be resolved because AI is said to help me without actually threatening me at work.

AI is not that useful and workers are still responsible for the work being right.

I really only use it as a better search engine since outlook search is completely crap.

The Code it makes is too verbose. If I can do it in 7 lines, I don't need 60 thrown at me

It’s very useful outside of programming. Keeping human in the loop makes outcomes better. But regardless ai is a huge productivity boost.

It's not that LLMs (I think that's what we are talking about when talking about AI) are not that useful. They are. But the most straightforward way to use them is to generate walls of text, which contain a lot of BS. In order to consume all this text and make sense of it, LLMs are used which reshuffle that BS into more BS but with less context. In the end, a human is presented with total BS that looks very plausible and if they don't critically evaluate it before forwarding to their higher-ups, they put their reputation at risk.

I quit a position after 10 years because the latest "CTO" is "all in on AI".

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