Harvard University
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A new Harvard study found more than half of surveyed men claimed to recognize AI leaders who were entirely fictional, revealing notable bluffing in AI discourse. The finding highlights reliability issues with self-reported data on AI knowledge.
A Harvard study using Jellyfish analytics spanning over 700,000 employees and 300 million work events finds AI coding efficiency gains are absorbed by code-review bottlenecks. Firms saw little evidence of higher software output or lower employment, with longer reviews and more revised pull requests.
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