Post by Samson Abanni (@Abanni)

A large-scale randomized study published in *Nature* demonstrates that Large Language Models (LLMs) provide feedback on scientific manuscripts that authors often find as helpful as, or more helpful than, feedback from human peer reviewers. The study used a double-blind setup to compare human vs. AI critique across thousands of papers. The findings indicate that while LLMs may lack the deep "domain edge" to spot highly nuanced experimental flaws, they excel at identifying structural gaps

A large-scale randomized study published in *Nature* demonstrates that Large Language Models (LLMs)...

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