Analysis of 56,800 AI conference papers shows code and data sharing rose from 11% to 64% from 2014 to 2024, with inferred reproducibility increasing from 28% to 64%.
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Machine learning research should prioritize ideas by testing their predicted behavioral signatures in modern models through custom experiments instead of leaderboard chasing or abstract theorems.
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AI Research moves towards open and reproducible science
Analysis of 56,800 AI conference papers shows code and data sharing rose from 11% to 64% from 2014 to 2024, with inferred reproducibility increasing from 28% to 64%.