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AI supercharges scientific output while quality slips

AI writing tools are supercharging scientific productivity, with researchers posting up to 50% more papers after adopting them. The biggest beneficiaries are scientists who don’t speak English as a first language, potentially shifting global centers of research power. But there’s a downside: many AI-polished papers fail to deliver real scientific value. This growing gap between slick writing and meaningful results is complicating peer review, funding decisions, and research oversight.

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