they do but .. most of what modern AI is good at is modeling things that repeat on a regular basis. it’s a bit of a parlor trick they have a ground truth they then train these systems to match the ground truth and all the wiggle room around the ground truth captures a variety of human variety. so things like faces are mostly predictable. they have ranges. very simple Physics is very predictable so they can imitate universes. but flow? flow is far too complicated yet. they have laminar flow OK. but turbulence is one of the greatest mysteries in the sciences and they had a lot of trouble with it. it’s very difficult to model stirring creamer into coffee they do experiments with modeling folding different colored clay in the 1970s after just a few folds they start losing track they’ve gotten much better in the past 50 years and they can model hurricanes surprisingly well considering their complexity but they’re basically stirring creamer in a coffee cup clouds and things are much more diverse

they do but ..

most of what modern AI is good at is modeling things that repeat on a regular basis.

it’s a bit of a parlor trick

they have a ground truth

they then train these systems to match the ground truth

and all the wiggle room around the ground truth captures a variety of human variety.

so things like faces are mostly predictable. they have ranges.

very simple Physics is very predictable so they can imitate universes.

but flow?

flow is far too complicated yet.

they have laminar flow OK.

but turbulence is one of the greatest mysteries in the sciences and they had a lot of trouble with it.

it’s very difficult to model stirring creamer into coffee

they do experiments with modeling folding different colored clay in the 1970s

after just a few folds they start losing track

they’ve gotten much better in the past 50 years and they can model hurricanes surprisingly well considering their complexity

but they’re basically stirring creamer in a coffee cup

clouds and things are much more diverse

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