AI in physical sciences shares the same bottleneck: missing data and feedback loops
AnneliesGamble · x · 2026-08-25
The author observes that AI applications across the physical sciences—manufacturing, biology, chemistry—run into the same fundamental bottlenecks: scarce data and missing physical feedback loops. Manufacturing AI is hard largely because data and real-world feedback are lacking, which is also a big part of what makes AI in biology and chemistry hard.
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