AI Is Now Reading Published Papers Back — and Finding the Cracks

Wharton's Ethan Mollick flags an experiment where AIs retroactively audit published research, calling it a 'tsunami coming for academia.'

Ethan Mollick flagged an experiment he called "both an interesting experiment and a sign of a tsunami coming for academia": AIs retroactively reading published research and "finding both opportunities and issues with published papers." In other words, models are now being pointed at the existing literature not to summarize it, but to audit it — surfacing errors, gaps, and unexploited follow-up work at a scale no human review process can match.

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