LispMachine was designed to take a graph as an input, and executes directly on the nodes of the graph.
If the graph change, simply create a new lightweight
LispMachine to execute it on.
LispMachine is suitable for tasks such as creating recurrent neural networks without a fixed size.
The trade-off is that executing a graph on
LispMachine is generally slower than on
given the same static “image” of a graph.