The specific term "artificial general intelligence" emerged relatively recently, first appearing in a 1997 nanotechnology conference paper by University of Maryland graduate student Mark Gubrud, though this early usage gained little traction. Several years later, Legg independently coined the identical terminology while collaborating on a book about machine learning systems capable of addressing diverse challenges. The terminology gained prominence as researchers sought to distinguish comprehensive AI ambitions from specialized algorithms.
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