Making AI Headlines · Page 10
AI's Messiness Has an Engineering History
· New York time
MIT Assistant Professor Benjamin Lindquist studies how engineers deliberately introduced randomness into early AI, helping give rise to deep-learning models that sometimes hallucinate. His historical inquiry examines design choices behind systems often described through comparisons with the messy human mind. The work does not make every fabricated answer an intentional feature. It places unpredictability within an engineering history rather than treating modern models as immaculate logic machines that inexplicably became eccentric. Apparently the route to artificial intelligence included adding disorder on purpose. Users now encounter some of that intellectual inheritance while requesting orderly answers.
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