[ Note: I'm a complete layperson in the AI field, so feel free to correct me. This is mostly based on my penchant for reading topics such as evolutionary biology, Hofstadter, and such. ]
If we used genetic algorithms to design the algorithm, it'd probably be able to get something as efficient as that. However, you're also not going to be able to "fix this one thing" because it's more likely to be the result of emergent behavior from interactions more complicated than anyone can understand. I believe one could get something that works like that, but you're also going to have other behaviors akin to moths flying into lamps because they navigate by the moon which is recognized as "the brightest thing at night".
We think we can make rules for everything and expect them to be followed without exception to perform these complicated tasks, but I think that's hubris. Anything that ends up doing it at that power scale is going to be as inscrutable as a brain. Asimov's robopsychology is then likely to be something real, but it's going to be dissecting neural networks because "fix this issue" on something that took multiple GW of energy to train in the first place will need fixing from that end versus "well, time to train it again".
As an anecdote for this thread, I remember there was some setup where physical circuits were designed via genetic algorithms to do some task. There were results with unconnected resistors that actually influenced the behavior of the circuit. You're generating behavior which is sensitive to that level. Wish I could find that again…