For Bayesians, creating the master algorithm boils down to efficiently implementing Bayes's theorem, a mathematical rule for updating our degree of belief in a hypothesis when we see new evidence.

Perhaps soon enough, we'll figure out that master algorithm and understand our brains better. Then we'll either be able to make better AI — or AI that's better than us. It's worth finding out.

Buehrer suggests a mathematical method for organizing the various tribes of AI-learning under a single ruling construct, such as the one suggested by Pedro Domingos in his book “ The Master ...

Superintelligence, roughly defined as an AI algorithm that can solve all problems better than people, will be a watershed for humanity and tech. Even the best human experts have trouble making ...