That may be the case but I don't think it solves the power mystery. It may be a simple algorithm but it does an awful lot of np-hard/np-complete things on very little power. Among these are absurdly fast learning and fuzzy associative search.
Parent was making the point that we have no computer with a similar architecture as the human brain (billions of tiny compute elements). Artificial neural networks try to simulate that, but the simulate billions of parameters on thousands of core (CPU/GPU).
Of course it's highly inefficient, just like for the brain is highly inneficient to exactly multiply two numbers.
So you also suffer of Dunning-Kreuger, you imagine that all that computers can be are von-neumann machines.
This just means that the "algorithm of intelligence" is not terribly complicated. So we have hope of reverse engineering it.