Massive scale, in terms of both data availability and computation, enables important breakthroughs in key application areas of deep learning such as natural language processing and computer vision.

The race to build ever more capable artificial intelligence has split the field's leading thinkers into rival camps. Some argue that simply scaling models and compute will keep delivering dramatic ...