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It's also a context-specific scale. I work in computer vision. Building the surrounding app, UI, checkout flow, etcetera is easily Level 6/7(sorry...) on this scale.

Building the rendering pipeline, algorithms, maths, I've turned off even level 2. It is just more of a distraction than it's worth for that deep state of focus.

So I imagine at least some of the disconnect comes from the area people work in and its novelty or complexity.

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This is exactly true in my experience! The usefulness of AI varies wildly depending on the complexity, correctness-requirements, & especially novelty of the domain.

This attribute plus a bit of human tribalism, social echo-chambering, & some motivated reasoning by people with a horse in the race, easily explains the discord I see in rhetoric around AI.

am layman. is CV "solved" at this point, or is there more work to be done?

Far from solved! Though, like seemingly everything, it has benefited from the transformer architecture. And computer vision is kind of the "input", it usually sits intersecting with some other field i.e. cv for medical analysis is different to self driving is different to reconstruction for games/movies.

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