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I find value in learning some things deeply but not all things.

The ability to be more selective about where I attend deeply, while leveraging fast shallow learning to complete other tasks... That seems like a potential benefit and a nice choice to have in the toolbox.

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trick is maintaining enough domain expertise... so we can actually audit those shallow outputs.

If the baseline knowledge drops too low we cannot tell when the AI is being lazy or wrong

Spot on. The ultimate bottleneck is no longer generation; it's verification.

If you don't intrinsically know what 'right' looks like, AI simply helps you build the wrong thing faster. This internal compass is exactly what I meant by 'taste' in the original post.

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