“What trillion-dollar problem is AI trying to solve?”

Wages. They’re trying to use it to solve having to pay wages.

  • MudMan@fedia.io
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    3 months ago

    Hah. Hey, I’m not even saying the tech is useless, but best case scenario that’s our PhD student friend using ML to process data faster, or in ways that weren’t feasible before, not being replaced by an AI PhD student.

    • Hackworth@lemmy.world
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      3 months ago

      20 years ago, we had 9 people behind the camera running a live local newscast (Floor Director, Cam Operator, Teleprompter, Chyron, Graphics, Video Playback, Live/Commercial Cut-in, Audio, and Director). Now, in a market three times the size, the same job is done with 3 people and a metric ton of automation. What used to feel like a bridge crew piloting a ship now feels like conducting corpo bots within time-frames that prevent giving any of them real attention. I do believe most AI systems will continue to need people in the loop. It’ll just be fewer people in less fulfilling positions.

      • Snot Flickerman@lemmy.blahaj.zone
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        3 months ago

        Citing the same time period, it used to be each local station had a Master Control Operator.

        Now an MCO is expected to run 10 stations all at once from a remote location. No change in pay. Just more responsibility.

      • MudMan@fedia.io
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        3 months ago

        OK, not disputing that, but that process has eff all to do with AI. Gen AI gave people a recognizable target, but automation was done using good old dumb algorithms for a long time before we taught computers to babble like a toddler. I was in the room for a ton of “can we automate all this QA” when machine learning was failing to tell a cat apart from a bycicle.

        Also, for your specific case I think Youtube and social media had a TON to do with the shifting standards of running a skeleton crew TV studio. Ditto for the press in general. Remember when copy editors were a thing?