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Walker observed a modest but rising share of management teams explicitly mentioning AI when discussing hiring freezes or layoffs. The companies that discussed AI in the context of their workforce reduced their job openings by 12% over the past year, a steeper drop than the 8% reduction seen across all companies. While the current correlation between AI adoption and broad labor market outcomes remains small and statistically insignificant, Goldman’s baseline forecast is that 6% to 7% of workers—roughly 11 million jobs—will eventually be displaced by AI automation over the long term.

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For the Gates Demo in April 2019, OpenAl had already scaled up GPT-2 into something modestly larger. But Amodei wasn't interested in a modest expansion. If the goal was to increase OpenAI's lead time, GPT-3 needed to be as big as possible. Microsoft was about to deliver a new supercomputer to OpenAI as part of its investment, with ten thousand Nvidia V100s, what were then the world's most powerful GPUs for training deep learning models. (The V was for Italian chemist and physicist Alessandro Volta). Amodei wanted to use all of those chips, all at once, to create the new large language model.

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