When Machines Invent
Fascinating. Some of our basic assumptions about inventors, inventions and discoveries are soon to be challenged.
Over the past several decades, [John] Koza has internalized that lesson as deeply as any computer scientist alive and, arguably, made more of the insight than any coder in history. Now 62 and an adjunct professor at Stanford University, Koza is the inventor of genetic programming, a revolutionary approach to artificial intelligence (AI) capable of solving complex engineering problems with virtually no human guidance. Koza’s 1,000 networked computers don’t just follow a preordained routine. They create, growing new and unexpected designs out of the most basic code. They are computers that innovate, that find solutions not only equal to but better than the best work of expert humans. His “invention machine,” as he likes to call it, has even earned a U.S. patent for developing a system to make factories more efficient, one of the first intellectual-property protections ever granted to a nonhuman designer.

Over the past several decades,