An AI Model Found Decades-Old Errors in a Chemistry Reference Database | Japanese Reactions to AI Auditing Science

Nature reported on August 6, 2026 that a machine-learning model predicting boiling points had exposed long-standing errors in a chemistry reference database. The same technology is also injecting fabricated citations into the literature. This article traces both directions, and adds Japanese reactions from X, where the debate has moved from whether to use AI to who verifies it and who is accountable.