Perhaps even more importantly, this kind of behavior could
result in a balkanization of data within each sector, not only reducing innovative productivity
within the sector, but also reducing spillovers back to the deep learning GPT sector, and to other
application sectors. This suggests that the proactive development of institutions and policies that
encourage competition, data sharing, and openness is likely to be an important determinant of
economic gains from the development and application of deep learning.
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