I can't agree enough, and I am increasingly struggling to understand why people are not grasping this. It's just a matter of sensors in the right places and compute.

sufficient telemetry + sufficient compute = AI solution to any problem

From the Universal Approximation Theorem for neural nets, we know that if we have the right training method and net architecture we can get approximate any function with a NN. Of course, that doesn't imply that we actually have a sufficient training method and net architecture for the problem at hand, but we have been able to demonstrably solve at least two engineering domains: physical world navigation (Waymo) and language (GPT). It turns out a robust enough language model is sufficient for reasoning.

Given these results, I am personally stumped to come up with a problem humans can solve now that we can't solve with a computer given the correct telemetry and sufficient compute.