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[–] 40 points 4 months ago (6 children)

If my experience with it at work is anything to go by, no. Increasing amounts of my time are spent fixing the sloppy output of coworkers who use AI. Far from being "left behind" I've become one of the few people who is actually able to solve complicated problems.

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  • [–] 22 points 4 months ago (2 children)

    There was a great example of the issue with AI when compared to skilled workers.

    There was a company that needed a special function in their software, they wrote it in four weeks and it worked fine.

    Then they hired an AI pilled CTO, and needed to write a very similar function to the previous one, only this time, the CTO demanded to save time with AI.

    The second function took months of testing to be production ready, and was still far more buggy than the first one, even a year or two later they still had issues with it.


    I work at a company with AI-pilled management, they push hard for copilot, and I have noticed that the admin center for Copilot in Microsoft 365 has an overview screen where it has stats, and one of the stats is "hours saved with copilot".

    I would LOVE to see how those stats are calculated, they are probably extremely vauge and highly inflated.

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  • [–] 8 points 4 months ago

    This exactly. We have one or two people, who are supposed to be more technician level people who have started submitting thousands and thousands of lines of code for "features" they dreamed up and which aren't on any backlog or roadmap, and the actual software team is just like "fuck off we don't have time for this." They aren't actually contributing, they are just causing drama at this point.

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  • [+] [S] 5 points 4 months ago* (2 children)
  • [–] 12 points 4 months ago

    I don't think my colleagues are going to be replaced by ai. I think they are going to continue to use llms to generate "output" that needs someone like me to constantly fix until that becomes too expensive. At which point they will go back to doing their work the way they used to.

    These llms are impressive word guessing machines, but the are nowhere near as capable as their companies say they are.

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