GenAI has found the most adoption in similar situations: where the downstream effects of the fact that its outputs bear only a passing resemblance to facts doesn't matter.
This makes it excellent at, for example, demos: as long as you don't think about it too hard, the output looks "good enough."
This makes it excellent at, for example, demos: as long as you don't think about it too hard, the output looks "good enough."
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In the real world, outputs are produced for the purpose of serving as inputs somewhere else. And that's usually when people find out that the outputs you slipped them are irredeemable trash.
But AI scales these behaviors up.
And the prevailing system allows GenAI users to shove the something downstream without any kind of quality control, consequence-free.
Copilot for Office has been described as producing slides akin to a middle school child, but for a certain class of supervisor, that's an improvement
In the absence of feedback loops, every strategy appears fine. With ChatGPT, fine strategy can be generated at never-before-seen rates!
Execution is a strategy's first real test.