Yes, they're numbers/weights. Put a lot of them together in an interconnected graph, and let them adjust themselves to improve their performance on a scoring function, and you can get surprisingly complex behavior. Surprising, at least, if you think of it as "just numbers".
Scale that up a few orders of magnitude, and we'll be able to get even more surprisingly complex behavior.
Scale that up some more, and make that scaled up graph into a reinforcement learning system that rewards human-like drives like learning novel tasks and mastering existing tasks, perhaps with a curriculum that ramps up the difficulty of tasks slowly, and allow it to interact with its environment to try things out, and I think you're much closer to developing an artificial version of a young child than you'd think.
And if you asked most researchers what they thought about the course AI research would take 10 years ago, you would get very different answers than you'd get today.
Basically, I think your confidence is a bit unwarranted. I agree that we're more than a decade away, but I think we have a lot of the basic building blocks now.