Ethan Mollick: hidden reasoning traces push humans from augmentation to automation
emollick · x · 2026-10-27
Wharton professor Ethan Mollick notes that the end of detailed summarized thinking traces in Claude and ChatGPT — likely driven by both anti-distillation measures and UX choices — has made being a human in the loop challenging. It is now much harder to weigh in on in-process AI work, pushing us toward automation rather than augmentation.
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