The Road To Artificial General Intelligence

The tremendous advancements in artificial intelligence remain focused in narrow applications. As described in a recent article authored by Ben Dickson, these narrow systems have been designed to perform specific tasks instead of having general problem-solving abilities. The quest for general problem-solving ability has long been pursued, with many focused-on replicating aspects of human intelligence like vision, language, reasoning, and motor skills. Now, a new paper submitted to the peer-reviewed Artificial Intelligence journal describes an argument put forward by scientists at U.K.-based AI lab DeepMind. They argue that intelligence and its associated abilities likely emerge by rewarding maximization versus formulating and solving complicated problems.

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