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The gap between AI hardware design and real-world engineering
An essay argues that manufacturing, testing and sparse physical-world data could remain hurdles as AI design improves.
TLDR
The author predicts AI models will soon become superhuman hardware designers, but argues that designing parts is only one step. Procuring and manufacturing components, measuring physical processes, testing and gathering customer feedback all take time. He says better simulations and more data about manufacturing processes could help close the gap.
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