We Analyzed Millions of ChatGPT User Sessions: Visits are Down 29% since May, Programming Assistance is 30% of Use - SparkToro - eviltoast
  • acceptable_pumpkin@lemmy.world
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    1 year ago

    While it may not eliminate positions entirely, it will greatly reduce the number of positions needed.

    See any advancements in automation from farming to manufacturing.

    • ourob@discuss.tchncs.de
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      1 year ago

      See any advancements in automation from farming to manufacturing.

      See, this is the kind of thing that makes my bullshit detectors go off. The comparison elevates this new tech to the same level of importance as past revolutionary shifts in industry. But this only seems justified if you can assume the rapid advancements in LLMs will continue at the same rate going forward, which not a given at all. Fundamentally, these models are trained to produce convincing output, not accurate output. There is no guarantee that high accuracy will be achieved with this approach.

      For programming, I don’t see these LLMs any differently than previous advancements in tooling and in high level programming languages and frameworks. They will make it easier to rapidly prototype and deploy (shoddy) apps, but they will not be replacing devs who work at a low level high performance, or critical areas, nor will they be drastically reducing the workforce needed - at least not any more than other tooling advancements.

      All just my opinion, of course. We shall see.