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

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

  • Hackworth@lemmy.world
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    2 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.

    • MudMan@fedia.io
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      2 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?

      • Hackworth@lemmy.world
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        2 months ago

        YouTube and Social Media were part of the '05 (algorithmic) AI wave, yeah. We’re similarly seeing pressure from (transformer) gen AI at every level now.

    • Snot Flickerman@lemmy.blahaj.zone
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      2 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.