In 2025, the AI research community is expected to produce over 240,000 publications annually. Despite this prolific output, there’s a growing concern about the originality and impact of these studies. Many AI conferences have become repetitive, with common themes including the rise of AI agents, the challenges of AI in production, and the importance of AI governance. The narrative often highlights that AI itself won’t replace jobs, but rather, those skilled in AI will have an advantage. Additionally, the EU AI Act is frequently mentioned, underscoring the push for AI regulation. However, amidst this volume of research, there’s a question of how much is truly innovative versus merely incremental. The reproducibility crisis in AI further complicates the landscape, suggesting that not all published research might stand up to scrutiny or replication.
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