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Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate. Watch Video Adam Zewe|MIT News Publication Date: October 23, 2026

I spend much of my time these days in rooms with plant heads, automation leads, system engineers and almost every conversation about “AI-ready manufacturing” starts with machines and ends with people. We talk about sensors, digital twins, predictive models, robotics on the shop floor and then someone asks, “But who’s going to run all this?”