GPT-5.5 Pro Rewrites a Grad School Paper — Finding New Data, Extending Arguments, and Raising Questions About AI-Assisted Scholarship

Ethan Mollick fed an old academic paper to GPT-5.5 Pro and it didn't just summarize — it located new data, ran analysis, and extended the original argument. The implications for how researchers revisit their own work are profound and unsettling.

Wharton professor Ethan Mollick ran an experiment that may preview the future of academic research: he gave GPT-5.5 Pro one of his old graduate school papers and asked it to update the work. As @emollick described, the model didn't merely summarize or paraphrase. It identified new datasets that had become available since the original publication, conducted analysis on them, and extended the paper's argument in directions Mollick himself hadn't pursued. The post drew over 1,000 likes.

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