• cecilkorik@piefed.ca
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    11 hours ago

    We used to call that premature optimization. Now we complain tasks don’t have enough AI de-optimization. We must all redesign things that we have done in traditional, boring not-AI ways, and create new ways to do them slower, millions or billions of times more computationally intensive, more random, and less reliable! The market demands it!

    • very_well_lost@lemmy.world
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      4 hours ago

      I call this shit zero-sum optimization. In order to “optimize” for the desires of management, you always have to deoptimize something else.

      Before AI became the tech craze du jour I had a VP get obsessed with microservices (because that’s what Netflix uses so it must be good). We had to tear apart a mature and very efficient app and turn it into hundreds of separate microservices… all of which took ~100 milliseconds to interoperate across the network. Pages that used to take 2 seconds to serve before now took 5 or 10 because of all the new latency required to do things they used to be able to basically for free. And it’s not like this was a surprise. We knew this was going to happen.

      But hey, at least our app became more “modern” or whatever…