Why the quickest path to human-level AI may be letting it evolve on its own

His research involves building evolutionary algorithms that can function in tandem with deep learning systems. In essence, rather than teaching an AI to solve a problem, he develops algorithms that sort of meander about seeing what they're capable of. These systems aren't rewarded for solving a problem like normal AI paradigms. They just go until something happens. What's remarkable is that, without a problem to solve, they still manage to solve many kinds of problems far more efficiently than traditional deep learning models.