Our tried-and-true approach for when the physical world is causing us trouble, is to remake the physical world to be easier to work with.

My go-to example: wheels suck at mobility in the natural world. There's a reason no animal uses wheels as their means of locomotion. They only really work on flat, hard surfaces that give a good grip.

Our solution? We didn't build mechanical legs for all-terrain mobility. We paved the world instead. Dirt roads, then brick roads, then asphalt and concrete - since ancient history, we were forcing the world to adapt, so the one means of mobility we could easily built was effective.

We repeat this pattern every time when the world doesn't agree with us, and adapting ourselves to it is too much of a hassle.

Now, AI will likely adopt the same approach to these kinds of problems, which may not end up very nicely for us.

(Note: we are already adapting our own digital worlds to make them easier for AI. Much like building roads for our wheels, we now have a resurgence of CLI, with new tools exposing high-level operations optimized for agents - not humans - to use comfortably.)