AI Innovations Stalled by 17th-Century Publishing

A new report warns that 17th-century academic publishing models are failing to keep pace with AI-driven science ^[1]. The study from JMIR Publications highlights how static verification methods create a bottleneck for rapid innovation ^[1]. These outdated systems currently trap discoveries in diagnostics and drug discovery ^[1]. Researchers argue that paper-based models cannot handle the speed of modern AI breakthroughs ^[1]. This crisis prevents the scientific record from reflecting real-time data and automated discoveries ^[1]. Experts call for a shift toward more dynamic digital verification to support future progress ^[1].