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The beautiful thing about LLMs that differentiates from working with humans - When I ask it something like "generate x. Here are a few examples," it delivers alpha that average or below-average workers can't. If the task is too complex, you need more examples, and it will deliver results.

For an average human being, ramping up on a task might have more questions, and examples might not be enough to generate alpha. Basically, the "grasp" of the problem is slow. Here is the place where we lose, and LLMs would win.