It kind of makes intuitive sense that "understanding" is a graph of nodes representing arbitrary (meaningless) concepts with edges doing all the work of imbuing meaning.

So how do we test this idea with a graph large enough and fast enough to approach the complexity of the brain? All computer architectures seem to deeply resist the graph architecture by forcing edges/nodes of large graphs to be sequentially accessed over a set of limited memory bus lines. Large computer networks force edges/nodes to be sequentially accessed over network access points, hubs and switches. Everywhere we look, graph traversal and transformation is unavoidably sequentialized at critical moments on today's hardware. What's the solution?